A Citizen's Guide to Artificial Intelligence
- Authors
- John Zerilli
- Publisher
- MIT Press
- Tags
- political science , science & technology policy , general , artificial intelligence , technology & engineering , social aspects , public policy , computers , artificial intelligence; machine learning; transparency; bias; responsibility; liability; meaningful human control; privacy; autonomy; algorithms in government; employment; oversight and regulation;regression;classification;decision trees;neural networks;bayesian models;supervised learnin;gtransparency;explainability;accessibility;accountability;black box;intentional stance;practical reason;biasdiscrimination;prejudice;heuristics;predictive policing;fairness;compatibility;accuracy;strict liability;fault-based liability;insurance;moral agency;automation bias;automation complacency;human in the loop;meaningful human control;human factors;privacygdpr;right to be forgotten;inferential analytics;purpose limitation;autonomy;facebook;political advertising;manipulation;democracy;administrative;soft law;hard law;self-regulation;oversight body;auditing law;public sector;procurement
- Date
- 2021-02-23T21:23:12+00:00
- Size
- 0.73 MB
- Lang
- en
A concise but informative overview of AI ethics and policy.
Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.